Transcribe speech to text
Transcribe audio into text
Transcribe audio to text
preparing for fine tuning with Khmer dataset
Transcribe audio files using Whisper-base
Transcribe audio files into text
Generate a 2-speaker podcast from text input or documents!
ML-powered speech recognition directly in your browser
Transcribe audio to text
Transcribe audio to text
Transcribe audio to text
Transcribe audio to text
Speech recognition with whisper
Wshiper Api is a specialized tool designed to transcribe podcast audio into text. It leverages advanced speech-to-text technology to provide accurate and efficient transcription services, making it easier to convert spoken content into readable formats.
• Accurate Transcription: Converts spoken audio into highly accurate text. • Support for Multiple Languages: Transcribes audio in various languages to cater to a global audience. • Integration Capabilities: Easily integrates with podcast platforms, websites, and apps. • Developer-Friendly API: Offers robust API endpoints for seamless implementation. • Scalable Solution: Handles large volumes of audio content efficiently.
Example of an API request:
curl -X POST \
https://api.wshiper.com/transcribe \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: audio/mpeg" \
-T audio_file.mp3
What formats does Wshiper Api support?
Wshiper Api supports popular audio formats such as MP3, WAV, and AAC.
Is the transcription process automated?
Yes, the transcription process is fully automated, ensuring quick turnaround times.
How secure is my data with Wshiper Api?
Wshiper Api employs advanced security measures to protect your data, including encryption and secure authentication protocols.